Sr. Healthcare Data Engineer - Remote

Overview

At Habitat Health, we envision a world where older adults experience an independent and joyful aging journey in the comfort of their homes, enabled by access to comprehensive health care. Habitat Health provides personalized, coordinated clinical and social care as well as health plan coverage through the Program of All-Inclusive Care for the Elderly (“PACE”) in collaboration with our leading healthcare partners, including Kaiser Permanente.

Habitat Health offers a fully integrated experience that brings more good days and a sense of belonging to participants and their caregivers. We build engaged, fulfilled care teams to deliver personalized care in our centers and in the home. And we support our partners with scalable solutions to meet the health care needs and costs of aging populations.

Habitat Health is growing, and we’re looking for new team members who wish to join our mission of redefining aging in place. To learn more, visit https://www.habitathealth.com.

In Short

• Design, implement, and maintain scalable, HIPAA-compliant data architecture to support clinical, operational, and financial analytics.
• Build and manage robust data pipelines to ingest, transform, and standardize data from internal and external healthcare sources (e.g., EHRs, claims vendors, SDOH APIs).
• Collaborate closely with analysts and business users to translate requirements into performant data models and analytic-ready datasets.
• Establish and document data governance standards, including lineage, access control, and auditing protocols for sensitive health information.
• Lead data quality initiatives including validation rules, monitoring, and anomaly detection to ensure trust in downstream analytics.
• Prototype and productionize reusable dbt models and libraries aligned to open healthcare data models (e.g., Tuva, OMOP, FHIR).
• Serve as the technical lead for growing a high-functioning data engineering team and scaling infrastructure to meet business needs.

Requirements

• At least 5 years of data engineering experience.
• Strong proficiency with a modern cloud-based data stack, preferably Azure Data Services.
• Ability to design and implement scalable, cost-efficient, HIPAA-compliant data architecture.
• Experience building end-to-end production grade data pipelines soup to nuts (e.g. Airflow, Databricks, Azure Data Factory).
• Expert-level Python and SQL coding skills.
• Experience ingesting external data files and APIs (OneDrive, SFTP, claims vendors, etc.).
• “Analyst as customer” mentality; experience enabling analytic use cases via dbt or similar tools.
• A willingness to crank through the less glamorous aspects of building data products that delight (e.g. data cleaning, quality checks, source to target mapping, documentation, etc.).

Benefits

• The expected salary range for this position is $160,000 - $190,000 and is bonus-eligible.
• This role is eligible for medical/dental/vision insurance, short and long-term disability, life insurance, flexible spending accounts, 401(k) savings, paid time off, and company-paid holidays.